Triple

T10726905
Position Surface form Disambiguated ID Type / Status
Subject Humera E252971 entity
Predicate roadConnectionTo P9041 FINISHED
Object Metema
Metema is a border town in northwestern Ethiopia near Sudan, serving as a key transit point for cross-border trade and transport.
 E883135 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Metema | Statement: [Humera, roadConnectionTo, Metema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Metema
Context triple: [Humera, roadConnectionTo, Metema]
  • A. Gomeisa
    Gomeisa is the second-brightest star in the constellation Canis Minor, known as a hot, blue-white main-sequence star visible to the naked eye.
  • B. Hamazi
    Hamazi was an ancient Mesopotamian city-state, likely located in the Zagros foothills, known from early Sumerian sources as a rival power in the region.
  • C. Zogoiby
    Zogoiby is the surname of Aurora Zogoiby, a character from Salman Rushdie’s novel "The Moor’s Last Sigh."
  • D. Ngola
    Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
  • E. Buhera
    Buhera is a rural town and district center in eastern Zimbabwe known for its agricultural activities and location within Manicaland Province.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Metema
Triple: [Humera, roadConnectionTo, Metema]
Generated description
Metema is a border town in northwestern Ethiopia near Sudan, serving as a key transit point for cross-border trade and transport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Metema
Target entity description: Metema is a border town in northwestern Ethiopia near Sudan, serving as a key transit point for cross-border trade and transport.
  • A. Gomeisa
    Gomeisa is the second-brightest star in the constellation Canis Minor, known as a hot, blue-white main-sequence star visible to the naked eye.
  • B. Hamazi
    Hamazi was an ancient Mesopotamian city-state, likely located in the Zagros foothills, known from early Sumerian sources as a rival power in the region.
  • C. Zogoiby
    Zogoiby is the surname of Aurora Zogoiby, a character from Salman Rushdie’s novel "The Moor’s Last Sigh."
  • D. Ngola
    Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
  • E. Buhera
    Buhera is a rural town and district center in eastern Zimbabwe known for its agricultural activities and location within Manicaland Province.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d70fc713f081909ba1d1b986c1fe5c completed April 9, 2026, 2:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69de2297f7a48190b194f7e611d0682b completed April 14, 2026, 11:18 a.m.
NEDg Description generation batch_69de25d25474819081402b75ef7492f6 completed April 14, 2026, 11:32 a.m.
NED2 Entity disambiguation (via description) batch_69de2808244c8190bdb2d4d49f30e0d7 completed April 14, 2026, 11:42 a.m.
Created at: April 8, 2026, 9:14 p.m.